## Estimate Std. Error t value Pr(>|t|)
## PctEmpFIRE 6.13e-01 1.78e-01 3.45 5.91e-04
## Ed4AssocDegreePct -5.29e-01 1.90e-01 -2.78 5.55e-03
## FemaleHHPct 5.35e-01 1.17e-01 4.56 5.73e-06
## HH65PlusAlonePct -4.73e-01 1.36e-01 -3.47 5.53e-04
## Ed3SomeCollegeNum 1.42e-05 4.86e-06 2.93 3.48e-03
## ForeignBornMexNum 2.15e-05 8.67e-06 2.48 1.35e-02
## NetMigrationNum0010 2.78e-05 6.61e-06 4.21 2.84e-05
From the final model, we see that most of the impact on AQI is geographical. For example, the increase from ForeignBornMexNum and NetMigrationNum could signal that states closer to the Mexican border tend to have worse AQIs due to their location. However, the most clear predictors are the states themselves.
The assumptions for linearity appear to hold up until about 1 standard deviation below the mean.
## randomForest 4.6-14
## Type rfNews() to see new features/changes/bug fixes.
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## Attaching package: 'randomForest'
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## combine
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## combine
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